Free AWS-Certified-Machine-Learning-Specialty Exam Braindumps

A Machine Learning Specialist is deciding between building a naive Bayesian model or a full Bayesian network for a classification problem. The Specialist computes the Pearson correlation coefficients between each feature and finds that their absolute values range between 0.1 to 0.95.
Which model describes the underlying data in this situation?

1. A. A naive Bayesian model, since the features are all conditionally independent.
2. B. A full Bayesian network, since the features are all conditionally independent.
3. C. A naive Bayesian model, since some of the features are statistically dependent.
4. D. A full Bayesian network, since some of the features are statistically dependent.

Correct Answer: C

Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?

1. A. The true class frequency for Romance is 77.56% and the predicted class frequency for Adventure is 20 85%
2. B. The true class frequency for Romance is 57.92% and the predicted class frequency for Adventure is 1312%
3. C. The true class frequency for Romance is 0 78 and the predicted class frequency for Adventure is (0 47 - 0.32).
4. D. The true class frequency for Romance is 77.56% * 0.78 and the predicted class frequency for Adventure is 20 85% ' 0.32

Correct Answer: B
https://docs.aws.amazon.com/machine-learning/latest/dg/multiclass-model-insights.html

A machine learning (ML) specialist wants to secure calls to the Amazon SageMaker Service API. The specialist has configured Amazon VPC with a VPC interface endpoint for the Amazon SageMaker Service API and is attempting to secure traffic from specific sets of instances and IAM users. The VPC is configured with a single public subnet.
Which combination of steps should the ML specialist take to secure the traffic? (Choose two.)

1. A. Add a VPC endpoint policy to allow access to the IAM users.
2. B. Modify the users' IAM policy to allow access to Amazon SageMaker Service API calls only.
3. C. Modify the security group on the endpoint network interface to restrict access to the instances.
4. D. Modify the ACL on the endpoint network interface to restrict access to the instances.
5. E. Add a SageMaker Runtime VPC endpoint interface to the VPC.

Correct Answer: AC

A company is using Amazon Polly to translate plaintext documents to speech for automated company announcements However company acronyms are being mispronounced in the current documents How should a Machine Learning Specialist address this issue for future documents'?

1. A. Convert current documents to SSML with pronunciation tags
2. B. Create an appropriate pronunciation lexicon.
3. C. Output speech marks to guide in pronunciation
4. D. Use Amazon Lex to preprocess the text files for pronunciation

Correct Answer: A

A Data Scientist is working on an application that performs sentiment analysis. The validation accuracy is poor and the Data Scientist thinks that the cause may be a rich vocabulary and a low average frequency of words in the dataset
Which tool should be used to improve the validation accuracy?

1. A. Amazon Comprehend syntax analysts and entity detection
2. B. Amazon SageMaker BlazingText allow mode
3. C. Natural Language Toolkit (NLTK) stemming and stop word removal
4. D. Scikit-learn term frequency-inverse document frequency (TF-IDF) vectorizers

Correct Answer: A